About VAM

Data Analytics and Spatial Data Modeling not only support decision-making processes in various sectors, identify risks, increase operational efficiency, and contribute to sustainability principles, but also form the basis for the effective use of innovative technologies such as artificial intelligence in the healthcare sector. Therefore, the use of these technologies is becoming even more important.

The main methods that offer a wide range of analysis and modeling in the studies carried out in these areas are as follows:

  • Data Mining
  • Machine Learning
  • Deep Learning
  • Spatial Analysis
  • Optimization
  • Statistical Analysis

Data Analytics and Spatial Data Modeling Application and Research Center carries out various activities to support and advance important studies in these fields. Our center was established to carry out joint studies and promote scientific research by collaborating with universities, public institutions, and the private sector in projects using data analytics and spatial data modeling techniques.

The goals of our center are:

  • To develop and implement joint projects in the field of data analytics and spatial data modeling in cooperation with universities, public institutions, and the private sector.
  • To research and develop new data analysis and spatial data modeling techniques and to make these techniques usable in industrial and academic environments.
  • To organize conferences, seminars, and workshops in cooperation with similar centers at national and international levels and to encourage knowledge sharing in this field.
  • To contribute to the scientific literature in the field of data analytics and spatial data modeling and to support research in this field.

Our center organizes various events to follow the latest developments in the field of data analytics and spatial data modeling and to bring together experts in this field. In addition, it supports the development of young talents in this field by offering training programs and internship opportunities for students.

To achieve our national goals in this field and to provide a collaborative working environment, many scientific activities are being planned under the leadership of our centers:

  • The 2nd International Congress on Artificial Intelligence in Healthcare to be held online,
  • The launch of the journal named "Artificial Intelligence Theory and Applications",
  • Increasing collaborations with the International Association for Artificial Intelligence in Healthcare,
  • Organizing mini workshops at the local and national levels to increase the visibility of the center and bring together academics working in this field.